Dataset

Multi-temporal mapping of seagrass cover, species and biomass of the Eastern Banks, Moreton Bay

University of Tasmania, Australia
Roelfsema, Christiaan ; Phinn, Stuart ; Lyons, Mitchell ; Kovacs, Eva ; Maxwell, Paul ; Saunders, Megan ; Samper-Villarreal, J
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://metadata.imas.utas.edu.au:443/geonetwork/srv/en/metadata.show?uuid=0e01cc13-cc11-4158-beef-755fae43ad0d&rft.title=Multi-temporal mapping of seagrass cover, species and biomass of the Eastern Banks, Moreton Bay&rft.identifier=https://metadata.imas.utas.edu.au:443/geonetwork/srv/en/metadata.show?uuid=0e01cc13-cc11-4158-beef-755fae43ad0d&rft.publisher=Institute for Marine and Antarctic Studies, University of Tasmania&rft.description=The spatial and temporal dynamics of seagrasses have been studied from the leaf to patch (100 m**2) scales. However, landscape scale (> 100 km**2) seagrass population dynamics are unresolved in seagrass ecology. Previous remote sensing approaches have lacked the temporal or spatial resolution, or ecologically appropriate mapping, to fully address this issue. This paper presents a robust, semi-automated object-based image analysis approach for mapping dominant seagrass species, percentage cover and above ground biomass using a time series of field data and coincident high spatial resolution satellite imagery. The study area was a 142 km**2 shallow, clear water seagrass habitat (the Eastern Banks, Moreton Bay, Australia). Nine data sets acquired between 2004 and 2013 were used to create seagrass species and percentage cover maps through the integration of seagrass photo transect field data, and atmospherically and geometrically corrected high spatial resolution satellite image data (WorldView-2, IKONOS and Quickbird-2) using an object based image analysis approach. Biomass maps were derived using empirical models trained with in-situ above ground biomass data per seagrass species. Maps and summary plots identified inter- and intra-annual variation of seagrass species composition, percentage cover level and above ground biomass. The methods provide a rigorous approach for field and image data collection and pre-processing, a semi-automated approach to extract seagrass species and cover maps and assess accuracy, and the subsequent empirical modelling of seagrass biomass. The resultant maps provide a fundamental data set for understanding landscape scale seagrass dynamics in a shallow water environment. Our findings provide proof of concept for the use of time-series analysis of remotely sensed seagrass products for use in seagrass ecology and management.&rft.creator=Roelfsema, Christiaan &rft.creator=Phinn, Stuart &rft.creator=Lyons, Mitchell &rft.creator=Kovacs, Eva &rft.creator=Maxwell, Paul &rft.creator=Saunders, Megan &rft.creator=Samper-Villarreal, J &rft.date=2017&rft.coverage=northlimit=-27.37; southlimit=-27.42; westlimit=153.37; eastLimit=153.42; projection=GDA94 / Geoscience Australia Lambert (EPSG:3112)&rft_rights=Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/&rft_rights=The data described in this record are the intellectual property of the University of Queensland (UQ).&rft_subject=biota&rft_subject=BENTHIC HABITAT&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=AQUATIC ECOSYSTEMS&rft_subject=MARINE HABITAT&rft_subject=SEAGRASS&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=PLANTS&rft_subject=ANGIOSPERMS (FLOWERING PLANTS)&rft_subject=MONOCOTS&rft_subject=Environmental Sciences not elsewhere classified&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=OTHER ENVIRONMENTAL SCIENCES&rft_subject=Environmental Management&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Marine and Estuarine Ecology (incl. Marine Ichthyology)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/

The data described in this record are the intellectual property of the University of Queensland (UQ).

Access:

Open

Full description

The spatial and temporal dynamics of seagrasses have been studied from the leaf to patch (100 m**2) scales. However, landscape scale (> 100 km**2) seagrass population dynamics are unresolved in seagrass ecology. Previous remote sensing approaches have lacked the temporal or spatial resolution, or ecologically appropriate mapping, to fully address this issue. This paper presents a robust, semi-automated object-based image analysis approach for mapping dominant seagrass species, percentage cover and above ground biomass using a time series of field data and coincident high spatial resolution satellite imagery. The study area was a 142 km**2 shallow, clear water seagrass habitat (the Eastern Banks, Moreton Bay, Australia). Nine data sets acquired between 2004 and 2013 were used to create seagrass species and percentage cover maps through the integration of seagrass photo transect field data, and atmospherically and geometrically corrected high spatial resolution satellite image data (WorldView-2, IKONOS and Quickbird-2) using an object based image analysis approach. Biomass maps were derived using empirical models trained with in-situ above ground biomass data per seagrass species. Maps and summary plots identified inter- and intra-annual variation of seagrass species composition, percentage cover level and above ground biomass. The methods provide a rigorous approach for field and image data collection and pre-processing, a semi-automated approach to extract seagrass species and cover maps and assess accuracy, and the subsequent empirical modelling of seagrass biomass. The resultant maps provide a fundamental data set for understanding landscape scale seagrass dynamics in a shallow water environment. Our findings provide proof of concept for the use of time-series analysis of remotely sensed seagrass products for use in seagrass ecology and management.

Issued: 2017-01-10

Data time period: 2004-09-17 to 2013-08-05

This dataset is part of a larger collection

Click to explore relationships graph

153.42,-27.37 153.42,-27.42 153.37,-27.42 153.37,-27.37 153.42,-27.37

153.395,-27.395

Other Information
DATA ACCESS - This OGC WFS service returns the data (seagrass COVER) in Shapefile format. (SHAPE-ZIP)

uri : https://geoserver.imas.utas.edu.au/geoserver/seamap/wfs

URI : https://geoserver.imas.utas.edu.au/geoserver/seamap/wfs?version=1.0.0&request=GetFeature&typeName=SeamapAus_QLD_EasternBanks_seagrass_cover&outputFormat=SHAPE-ZIP

DATA ACCESS - This OGC WFS service returns the data (seagrass SPECIES) in Shapefile format. (SHAPE-ZIP)

uri : https://geoserver.imas.utas.edu.au/geoserver/seamap/wfs

URI : https://geoserver.imas.utas.edu.au/geoserver/seamap/wfs?version=1.0.0&request=GetFeature&typeName=SeamapAus_QLD_EasternBanks_seagrass_species&outputFormat=SHAPE-ZIP

DATA ACCESS - This OGC WFS service returns the data (seagrass BIOMASS) in Shapefile format. (SHAPE-ZIP)

uri : https://geoserver.imas.utas.edu.au/geoserver/seamap/wfs

URI : https://geoserver.imas.utas.edu.au/geoserver/seamap/wfs?version=1.0.0&request=GetFeature&typeName=SeamapAus_QLD_EasternBanks_seagrass_biomass&outputFormat=SHAPE-ZIP

MAP - Eastern Banks seagrass COVER (seamap:SeamapAus_QLD_EasternBanks_seagrass_cover_MAP)

uri : https://geoserver.imas.utas.edu.au/geoserver/seamap/wms

MAP - Eastern Banks seagrass SPECIES (seamap:SeamapAus_QLD_EasternBanks_seagrass_species_MAP)

uri : https://geoserver.imas.utas.edu.au/geoserver/seamap/wms

MAP - Eastern Banks seagrass BIOMASS (seamap:SeamapAus_QLD_EasternBanks_seagrass_biomass_MAP)

uri : https://geoserver.imas.utas.edu.au/geoserver/seamap/wms

Original metadata record [PANGAEA catalogue]

doi : https://doi.pangaea.de/10.1594/PANGAEA.833767